Scenario Based Modeling for Very Large Scale Simulations

In order to develop complexity science based modeling, prediction and simulation methods for large scale socio-technical systems in an Ambient Intelligence (AmI) based smart environment, we propose a scenario based modeling approach. With a case study on AmI technology to support the evacuation from...

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Vydáno v:2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications s. 103 - 110
Hlavní autoři: Zia, K, Ferscha, A, Riener, A, Wirz, M, Roggen, D, Kloch, K, Lukowicz, P
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2010
Témata:
Ambient Intelligence
Buildings
Complexity Science
Complexity theory
Computational modeling
Crowd Modeling
Crowd Simulation
Large Scale Simulations
Microscopy
Optimization
Predictive models
Rail transportation
ISBN:1424486513, 9781424486519
ISSN:1550-6525
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Shrnutí:In order to develop complexity science based modeling, prediction and simulation methods for large scale socio-technical systems in an Ambient Intelligence (AmI) based smart environment, we propose a scenario based modeling approach. With a case study on AmI technology to support the evacuation from emergency scenarios, i.e. the Life Belt, a wearable computing systems for vibro-tactile directional guidance, we introduce the concept of model scaling from a micro to a macro level. Aligned with the scenario, we present how crowd simulation strategies encoded into a small scale simulation setup can be extended to a mixed-level simulation based on combining model aspects also coming from the large scale model. The experimental results of a real evacuation trail at a local railway station are incorporated to compare the evacuation efficiency for three strategies: (i) Potential Map, (ii) Evacuees familiarity of the exits and (iii) Exits usage optimization. A comparison with the earlier results from small scale simulation suggest that a real large scale simulation results may not be similar to that of small scale simulation due to dynamics of crowd built up and complexity of building structure.
ISBN:1424486513
9781424486519
ISSN:1550-6525
DOI:10.1109/DS-RT.2010.20